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Original file line number | Diff line number | Diff line change |
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import torch | ||
import torch.nn as nn | ||
from parameterized import parameterized | ||
from torch.testing._internal.common_utils import run_tests | ||
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from .harness import DispatchTestCase | ||
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class TestNonZeroConverter(DispatchTestCase): | ||
@parameterized.expand( | ||
[ | ||
((10,), torch.int), | ||
((1, 20), torch.int32), | ||
((2, 3), torch.int64), | ||
((2, 3, 4), torch.float), | ||
((2, 3, 4, 5), torch.float), | ||
] | ||
) | ||
def test_non_zero_float(self, input_shape, dtype): | ||
class NonZero(nn.Module): | ||
def forward(self, input): | ||
return torch.ops.aten.nonzero.default(input) | ||
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inputs = [torch.randint(low=0, high=3, size=input_shape, dtype=dtype)] | ||
self.run_test( | ||
NonZero(), | ||
inputs, | ||
) | ||
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if __name__ == "__main__": | ||
run_tests() |